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  • Currently displaying 21 - 40 of 1295 publications
Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning
T Wang, E Dobriban, M Gataric, R Samworth
– Journal of the American Statistical Association
(2024)
120,
395
(doi: 10.1080/01621459.2024.2340792)
Why Tabular Foundation Models Should Be a Research Priority
BV Breugel, MVD Schaar
(2024)
(link to publication)
A new computational framework for log-concave density estimation
W Chen, R Mazumder, RJ Samworth
– Mathematical Programming Computation
(2024)
16,
185
(doi: 10.1007/s12532-024-00252-0)
Non-contact, portable and stand-off infrared thermal imager for security scanning applications
WL Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
Automated detection and classification of concealed objects using infrared thermography and convolutional neural networks.
W Khor, YK Chen, M Roberts, F Ciampa
– Scientific Reports
(2024)
14,
8353
(doi: 10.1038/s41598-024-56636-8)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
(link to publication)
Recent methodological advances in federated learning for healthcare.
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
– Patterns (N Y)
(2024)
5,
101006
(doi: 10.1016/j.patter.2024.101006)
Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.
R Giddings, A Joseph, T Callender, SM Janes, M van der Schaar, J Sheringham, N Navani
– Lancet Digit Health
(2024)
6,
e131
(doi: 10.1016/s2589-7500(23)00241-8)
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities
A Curth, RW Peck, E McKinney, J Weatherall, M van der Schaar
– Clinical Pharmacology and Therapeutics
(2024)
115,
710
(doi: 10.1002/cpt.3159)
Optimal subgroup selection
HWJ Reeve, TI Cannings, RJ Samworth
– The Annals of Statistics
(2023)
51,
2342
(doi: 10.1214/23-AOS2328)
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility
TB Berrett, RJ Samworth
– The Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-AOS2326)
Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.
P Laferrière-Langlois, F Imrie, M-A Geraldo, T Wingert, N Lahrichi, M van der Schaar, M Cannesson
– Anesthesia & Analgesia
(2023)
139,
174
(doi: 10.1213/ane.0000000000006753)
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces
M Zhu, K Kobalczyk, A Petrovic, M Nikolic, MVD Schaar, B Delibasic, P Lio
(2023)
(link to publication)
Optimising Human-AI Collaboration by Learning Convincing Explanations
AJ Chan, A Huyuk, MVD Schaar
(2023)
(link to publication)
Time-series Generation by Contrastive Imitation
D Jarrett, I Bica, MVD Schaar
(2023)
(link to publication)
Invariant Causal Imitation Learning for Generalizable Policies
I Bica, D Jarrett, MVD Schaar
(2023)
(link to publication)
Multi-modal learning for predicting the genotype of glioma
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE transactions on medical imaging
(2023)
42,
1
(doi: 10.1109/TMI.2023.3244038)
Recent Methodological Advances in Federated Learning for Healthcare
F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts
(2023)
(doi: 10.48550/arxiv.2310.02874)
The impact of imputation quality on machine learning classifiers for datasets with missing values.
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb
– Communications medicine
(2023)
3,
139
(doi: 10.1038/s43856-023-00356-z)

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